CN109784174A - A kind of login method and equipment of user account - Google Patents
A kind of login method and equipment of user account Download PDFInfo
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- CN109784174A CN109784174A CN201811533832.4A CN201811533832A CN109784174A CN 109784174 A CN109784174 A CN 109784174A CN 201811533832 A CN201811533832 A CN 201811533832A CN 109784174 A CN109784174 A CN 109784174A
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- 238000000034 method Methods 0.000 title claims abstract description 41
- 210000003462 vein Anatomy 0.000 claims abstract description 132
- 230000008859 change Effects 0.000 claims description 41
- 238000006243 chemical reaction Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 14
- 210000001367 artery Anatomy 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 5
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 238000001514 detection method Methods 0.000 abstract description 13
- 238000001727 in vivo Methods 0.000 abstract description 11
- 238000012795 verification Methods 0.000 abstract description 5
- 230000008569 process Effects 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000004888 barrier function Effects 0.000 description 2
- 230000036772 blood pressure Effects 0.000 description 2
- 238000004040 coloring Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000003825 pressing Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000001990 intravenous administration Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
- 210000000106 sweat gland Anatomy 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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Abstract
The present invention is suitable for technical field of data processing, provides the login method and equipment of a kind of user account, comprising: if receiving Account Logon instruction, obtains the finger vein image of the user of current operation；The standard IV image of account identification is extracted from vein template library, and calculates the matching degree referred between vein image and standard IV image；If matching degree is greater than preset matching threshold, multiple finger-images of user are obtained with preset frequency acquisition；Based on multiple finger-images, the biological characteristic parameter of user is determined；If biological characteristic parameter and the standard biological parameter of user match, Account Logon instruction is responded.The present invention acquires the vein image in user's finger, it can not be forged by way of wearing fingerprint sleeve, so as to improve the reliability of account verification, and the biological characteristic parameter of acquisition user, to which the user to current authentication carries out In vivo detection, further avoids user and legitimate user is pretended to be to carry out Account Logon by forgery tool.
Description
Technical field
The invention belongs to technical field of data processing more particularly to the login methods and equipment of a kind of user account.
Background technique
With being continuously increased for application program and service system quantity, the number that user needs to be implemented register is also got over
Come more frequent, contain the privacy information of user in user account, thus during user logs in how safety and
Efficiently carrying out authentication is then particularly important.The login techniques of existing user account, are usually used fingerprint recognition
Or the mode for being manually entered password etc. is logged in, however finger print information can be forged by fingerprint sleeve, user password
Also the risk of leakage is had, therefore the security risk of existing user account is larger.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of login method of user account and equipment, it is existing to solve
The login techniques of user account, the mode for fingerprint recognition being usually used or is manually entered password etc. is logged in, however fingerprint
Information can be forged by fingerprint sleeve, and user password also has the risk of leakage, therefore the peace of existing user account
Full blast nearly larger problem.
The first aspect of the embodiment of the present invention provides a kind of login method of user account, comprising:
If receiving Account Logon instruction, the finger vein image of the user of current operation is obtained；The Account Logon refers to
Enable the account identification comprising the user；
The standard IV image of the account identification is extracted from vein template library, and calculates the finger vein image and institute
State the matching degree between standard IV image；
If the matching degree is greater than preset matching threshold, multiple hands of the user are obtained with preset frequency acquisition
Refer to image；
Based on multiple finger-images, the biological characteristic parameter of the user is determined；
If the biological characteristic parameter and the standard biological parameter of the user match, responds the Account Logon and refer to
It enables.
The second aspect of the embodiment of the present invention provides a kind of logging device of user account, comprising:
Refer to vein image acquiring unit, if obtaining the finger of the user of current operation for receiving Account Logon instruction
Vein image；The Account Logon instruction includes the account identification of the user；
Matching degree computing unit for extracting the standard IV image of the account identification from vein template library, and is counted
Calculate the matching degree between the finger vein image and the standard IV image；
Finger-image acquisition unit, if being greater than preset matching threshold for the matching degree, with preset acquisition frequency
Rate obtains multiple finger-images of the user；
Biological characteristic parameter acquiring unit determines the biological characteristic of the user for being based on multiple finger-images
Parameter；
Log-in instruction response unit, if the standard biological parameter phase for the biological characteristic parameter and the user
Match, then responds the Account Logon instruction.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer program that can run on the processor, when the processor executes the computer program
Realize each step of first aspect.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, and each step of first aspect is realized when the computer program is executed by processor.
The login method and equipment for implementing a kind of user account provided in an embodiment of the present invention have the advantages that
The embodiment of the present invention passes through the finger vein image for obtaining user, due to referring to that vein image is in acquisition user's finger
Vein image can not be forged by way of wearing fingerprint sleeve, so as to improve the reliability of account verification, and according to
Refer to the matching degree between vein image and standard IV image, judges whether the user currently logged in is legitimate user, is being matched
When degree is greater than preset threshold, continue the biological characteristic parameter for acquiring user, so that the user to current authentication carries out In vivo detection,
It further avoids user and legitimate user is pretended to be to carry out Account Logon by forgery tool.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of implementation flow chart of the login method for user account that first embodiment of the invention provides；
Fig. 2 a is a kind of login method S104 specific implementation flow chart for user account that second embodiment of the invention provides；
Fig. 2 b is a kind of live finger image Change in Mean curve graph that one embodiment of the invention provides；
Fig. 2 c is a kind of fingerprint film image Change in Mean curve graph that one embodiment of the invention provides；
Fig. 3 is a kind of login method S1044 specific implementation flow chart for user account that third embodiment of the invention provides；
Fig. 4 is a kind of login method S102 specific implementation flow chart for user account that fourth embodiment of the invention provides；
Fig. 5 is a kind of login method S101 specific implementation flow chart for user account that fifth embodiment of the invention provides；
Fig. 6 is a kind of structural block diagram of the logging device for user account that one embodiment of the invention provides；
Fig. 7 be another embodiment of the present invention provides a kind of terminal device schematic diagram.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
The embodiment of the present invention passes through the finger vein image for obtaining user, due to referring to that vein image is in acquisition user's finger
Vein image can not be forged by way of wearing fingerprint sleeve, so as to improve the reliability of account verification, and according to
Refer to the matching degree between vein image and standard IV image, judges whether the user currently logged in is legitimate user, is being matched
When degree is greater than preset threshold, continue the biological characteristic parameter for acquiring user, so that the user to current authentication carries out In vivo detection,
It further avoids user and legitimate user is pretended to be to carry out Account Logon by forgery tool, solve stepping on for existing user account
Record technology, the mode for fingerprint recognition being usually used or is manually entered password etc. is logged in, however finger print information can pass through
Fingerprint sleeve is forged, and user password also has the risk of leakage, therefore the security risk of existing user account is biggish
Problem.
In embodiments of the present invention, the executing subject of process is terminal device.The terminal device includes but is not limited to: service
The equipment that device, computer, smart phone and tablet computer etc. are able to carry out the register of user account.Particularly, the end
End equipment can be each user terminal used by a user, and the user terminal is configured with the acquisition module for referring to vein, for obtaining
The finger vein image of current operation user is taken, and executes the register of user account.Fig. 1 shows first embodiment of the invention
The implementation flow chart of the login method of the user account of offer, details are as follows:
In S101, if receiving Account Logon instruction, the finger vein image of the user of current operation is obtained；The account
Family log-in instruction includes the account identification of the user.
In the present embodiment, terminal device can activate when receiving the instruction of Client-initiated Account Logon and refer to that vein is adopted
Collect module, and obtains current time user and be placed in the finger vein image referred in venous collection module.It should be noted that this refers to
Venous collection module can be built in terminal device, and in this case, terminal device can send one by serial line interface
Enabled instruction is to activate built-in finger vein image；This refers to that venous collection module may be a peripheral apparatus, in this case,
Terminal device can determine the login mode of user when receiving the instruction of Client-initiated Account Logon according to the instruction, if
The login mode is to refer to vein login mode, then receives the finger vein image for referring to that venous collection module is sent.Optionally, in the party
Under formula, terminal device can be sentenced by searching for device type belonging to currently available wireless network and each wireless network
The disconnected device type that whether there is is the wireless network for referring to venous collection module and sending, and if it exists, this is then added and refers to venous collection mould
In wireless network transmitted by block, and one figure acquisition instruction of venous collection module feedback is referred to by wireless network case, so as to
Refer to the finger vein image that venous collection module is collected to terminal device transmission current time.
Optionally, if terminal device is using built-in referring to, venous collection module obtains the finger vein image of user,
In this case, this refers to that vein image can be with preset detection frequency it is judged whether or not finger blocks pickup area, if it exists
Finger blocks pickup area, can be generated at this time based on the application program of terminal device current interface about the application program
Account Logon instruction, then executes the operation of S101.
Optionally, in the present embodiment, this refers to that venous collection module can wrap containing multiple venous collection light sources, each adopts
The position and acquisition angles that collection light source is placed have differences, and terminal device can acquire user's simultaneously by multiple positions
Refer to vein image, and based on the positional relationship between each acquisition light source, multiple finger vein images are merged, particularly,
The finger vein image that user is obtained by multiple angles, can preferably generate user and really refer to vein image, and will be invalid
Refer to that vein profile is filtered out during merging.Preferably, each acquisition light source for referring to vein can be set different
Light source colour, terminal device can adjust the light source colour of acquisition light source according to the skin complexion of user before acquisition, from
And the efficiency for referring to vein image acquisition can be further increased.
In the present embodiment, include the account identification of user in account log-in instruction, that is, determine needed for active user
Which user account logged in.Since terminal device can be equipped with multiple application programs or terminal device by multiple use
Family shares, and the corresponding user account of different application programs and different user is different, therefore before register, specifies
The account identification of required login.
In S102, the standard IV image of the account identification is extracted from vein template library, and it is quiet to calculate the finger
Matching degree between arteries and veins image and the standard IV image.
In the present embodiment, terminal device obtains the user account according to the account identification of the user account of required login
Associated standard refers to vein image.User, can be by referring to that venous collection module obtains one or more when registering user account
The finger vein image that the moment collects is identified that the standard of the user account refers to by the finger vein image of a finger, terminal device
Vein image, and be stored in vein template library.This refers to that intravenous data library can store in database server, and terminal device can
To determine corresponding database server according to account identification, and acquisition account mark is corresponding from the database server
Standard IV image.Certainly, which may be stored in terminal device, and in this case, terminal device can be with
Directly from the standard IV image that module extraction account mark is locally stored.
In the present embodiment, terminal device is according to standard IV image and this finger vein image collected, really
Both fixed matching degree, to judge whether the user of current operation is user corresponding to user account.If the matching degree is big
In preset matching degree threshold value, then the relevant operation of S103 is executed；Conversely, if the matching degree is less than or equal to preset matching degree
Threshold value, then it represents that the finger vein image currently acquired is not the registered vein image of user account, exports login failure information.
Optionally, it calculates standard IV image and refers to that the mode of matching degree between vein image can be with are as follows: is quiet according to standard
Resolution ratio and the picture size adjustment of arteries and veins image refer to vein image, identify finger vein image adjusted and standard mirror image
Between same area area, the ratio of general image area according to shared by the area of the overlapping region, determine two images it
Between matching degree.
In S103, if the matching degree is greater than preset matching threshold, the use is obtained with preset frequency acquisition
Multiple finger-images at family.
In the present embodiment, terminal device is in the matching for referring to vein image and standard IV image for detecting that this is obtained
When degree is greater than matching threshold, need to continue to confirm whether the user of current operation is living body user, needs to carry out In vivo detection stream
Journey.
In the present embodiment, finger-image can be acquired by optical sensor or capacitance type sensor.Optionally, exist
In the present embodiment, the projection light emitted by optical sensor obtains user when pressing finger based on produced by the projection light
Finger-image.Since the light of projection is through the barrier of user's finger, most light, biological information management system will be reflected
Color image when system acquisition finger reflection light.The light projected includes but is not limited to: visible light, infrared ray and other
The light of specific wavelength.
In the present embodiment, finger-image and refer to that the difference of vein image is, refer to that vein image includes user's pressing
Finger venous information, acquisition precision is higher, therefore acquisition time is longer and processing speed is slower.And finger-image is main
It is to press colouring information image of the finger after transmitted light is irradiated according to acquisition user, mainly includes colouring information, therefore, acquisition
Time is short and processing speed is very fast.
Preferably, the pickup area of the finger-image is ROI (the region of in the pickup area of fingerprint image
Interest, area-of-interest).Specifically, the ROI is the geometric center region in fingerprint image acquisition region, and the ROI
Area is less than the pickup area for referring to vein image.
In the present embodiment, default frequency acquisition can according to user be set for change or according to system default value it is true
It is fixed.Preferably, the frequency acquisition is greater than the heart rate of human normal.The heart rate of human normal is 60 to 100 beats/min, therefore
The frequency of acquisition finger picture should be greater than 2Hz.
In S104, multiple finger-images are based on, determine the biological characteristic parameter of the user.
In the present embodiment, since the finger of living body user is due to factors such as blood pressure, blood sample, hearts rate, will affect vein with
And the color that capillary is presented, therefore multiple finger-images by being obtained based on default frequency acquisition, it can determine this
The color change trend of finger, so as to determine the biological characteristic parameter of the user according to color change trend, to complete
To the purpose of the In vivo detection of target user.If by wearing fingerstall or referring to that the modes such as film pretend to be legitimate user, due to above-mentioned work
Has the barrier to live finger, collected finger-image can not embody the biological characteristic parameter of user, or the biology of reaction
The standard biological parameter of characteristic parameter and user mismatch, to not only also be executed by referring to that vein image carries out user's checking
In vivo detection can further increase the safety of register.
In the present embodiment, if not detecting biological characteristic parameter that this is collected and standard biological characteristic parameter not
Match, then identifies that current operation user is not registered legitimate user, and export login failure information；Conversely, if the biology
What the standard feature parameter of characteristic parameter and user matched, then execute the relevant operation of S105.
In S105, if the biological characteristic parameter and the standard biological parameter of the user match, described in response
Account Logon instruction.
In the present embodiment, since the user of current operation is by referring to vein detection and In vivo detection and account identification
What corresponding standard parameter matched, then it can determine that the user of current operation is the corresponding entity user of user account, at this time
Account log-in instruction can be responded, sets logging state, and open corresponding operating right for user account.
Above as can be seen that the finger that a kind of login method of user account provided in an embodiment of the present invention passes through acquisition user
Vein image, due to refer to vein image be acquire user's finger in vein image, can not by way of wearing fingerprint sleeve into
Row is forged, so as to improve the reliability of account verification, and according to the matching referred between vein image and standard IV image
Degree judges whether the user currently logged in is legitimate user, when match degree is greater than the preset threshold, continues the biology for acquiring user
Characteristic parameter further avoids user and pretends to be conjunction by forgery tool so that the user to current authentication carries out In vivo detection
Method user carries out Account Logon.
Fig. 2 a shows the specific implementation of the login method S104 of user account of second embodiment of the invention offer a kind of
Flow chart.A referring to fig. 2, relative to embodiment described in Fig. 1, a kind of login method S104 of user account provided in this embodiment
Include: S1041~S1044, specific details are as follows:
Further, described to be based on multiple finger-images as another embodiment of the present invention, determine the user
Biological characteristic parameter, comprising:
In S1041, each finger-image is subjected to gradation conversion respectively, it is corresponding to generate each finger-image
Finger gray level image.
In the present embodiment, since the finger-image of the acquisition is color image, in order to further increase the speed of operation
Finger-image is converted to gray-value image by rate.
In the present embodiment, the gray-value image refers to that each pixel only includes a gray value in the image, and
The value range of the gray value is any integer between 0 to 255.
In the present embodiment, each finger-image is passed through into gradation conversion algorithm, color image is converted into ash
Image is spent, to obtain multiple finger gray level images.
In S1042, based on the gray value of each pixel in the finger gray level image, each finger gray scale is determined
The corresponding average gray value of image.
In the present embodiment, each finger gray level image will include several pixels, and each pixel includes a gray scale
Value, therefore pass through the gray value of each pixel, the corresponding average gray of finger gray level image will be obtained.
In the present embodiment, each finger gray level image is subjected to the operation, multiple finger gray level images pair will be obtained
The average gray value answered is carried out so as to include the finger gray level image of multiple pixels by one by a gray value
It indicates, in subsequent calculating process, the efficiency of data processing can be improved, improve login speed.
In S1043, according to the corresponding average gray value of multiple finger gray level images, it is with average gray
Ordinate, using the serial number size for obtaining the finger-image as abscissa, the gray average variation for establishing the finger-image is bent
Line.
In the present embodiment, biological information is determined by multiple average gray values.Since the finger-image is to pass through
Obtained image after light intensity irradiation finger, and finger is due to comprising biological characteristics such as numerous capillaries, sweat gland, pores, due to
In the process for acquiring multiple images, each of human body is organized also in running, therefore after the projection for passing through light, and finger-image will be anti-
Reflect variation when tissue running.It similarly, also will include the change information by the finger gray level image after gradation conversion.
And by multiple finger gray level images, that is, it can determine the biological information of the user.
In S1044, it is based on the gray average change curve, determines the biological characteristic parameter of the user.
In the present embodiment, by gray average change curve, it can be seen that some variation characteristics of finger-image, pass through change
Change feature, it may be determined that the biological information of user.
Illustratively, in order to make it easy to understand, as another embodiment of the present invention, user's heart rate is determined by finger-image
It is illustrated as an example.Fig. 2 b and Fig. 2 c show the data drawing list of the acquisition of the embodiment of the present invention.
In the present embodiment, biological characteristic management system acquires live finger image respectively and is adopted after wearing fingerprint film
The fingerprint film image of collection, frequency acquisition are 20 width image per second, are denoted as 20pic/s, when acquisition a length of 15s, obtain 300 width living bodies
Finger-image and 300 width fingerprint film images.Correspondingly, the image that every width acquires all is passed through into gray proces and calculates the image
Corresponding average gray.
Illustratively, live finger image Change in Mean is made in the corresponding average gray of 300 width live finger images
Curve, with reference to shown in Fig. 2 b, wherein ordinate is gray value size, and abscissa is the serial number of image when acquiring image.Correspondingly,
Fingerprint film image Change in Mean curve has also been made in the corresponding average gray of 300 width fingerprint film images, referring to fig. 2 shown in c.From
Fig. 2 a and Fig. 2 c it can be seen that, the peak-to-peak value of the discrete figure of vital fingerprint image mean value is about 8 gray values, and fingerprint film image is equal
It is worth the peak-to-peak value of discrete figure less than 1, is equivalently employed without any variation.Therefore, using the finger after fingerprint film, can't reflect
Biological information.In addition, can obtain from Fig. 2 b, which has 19 apparent wave crests, i.e., the image of the acquisition is in 15s
Inside change 19 times, therefore, peak-to-peak value, the acquisition time of the acquisition are available: (19 ÷ 15) * 60 ≈ 76, it may be determined that the user
Heart rate when acquiring finger-image is 76 beats/min, and the general heart rate range of human body is 60 beats/min to 100 beats/min.
Therefore may determine that, which acquired from living body user.Opposite, it can be seen that from Fig. 2 c, the ash of fingerprint film
Degree Change in Mean curve has no apparent wave crest, can not determine the heart rate information of user.
In embodiments of the present invention, by the way that finger-image is carried out gray proces, and the gray scale about finger-image is established
Change in Mean curve, and determine according to the gray average change curve biological characteristic parameter of target user, realize In vivo detection
Purpose.
Fig. 3 shows the specific implementation of the login method S1044 of user account of third embodiment of the invention offer a kind of
Flow chart.Referring to Fig. 3, relative to Fig. 2 a the embodiment described, a kind of login method of user account provided in this embodiment
S1044 includes: S301~S303, and specific details are as follows:
In S301, all wave crest coordinates and trough coordinate are marked on the gray average change curve.
In the present embodiment, the biological characteristic parameter of the user is counted for the ease of terminal device, terminal device can be to this
Gray average change curve carries out derivation, determines that derivative value is 0 multiple extreme points, and the mark on grey scale change curve
Coordinate where each extreme point, and the coordinate value based on the Near The Extreme Point point, are divided into wave crest coordinate for each extreme point
And trough coordinate.
In the present embodiment, terminal device can the coordinate position based on each wave crest coordinate and trough coordinate, resume wave
Corresponding relationship between spike paddy constitutes wave crest-trough coordinate pair.Preferably due to generating the gray average
When change curve, there can be the case where noise dither, it, can be by filter to the variation before counting Wave crest and wave trough coordinate
Curve carries out the processing that noise comes, so as to reduce the influence that noise spot counts biological characteristic.
In S302, the number of number and institute's trough coordinate based on the wave crest coordinate determines the heart of the user
Rate value.
In the present embodiment, terminal device can count the number of wave crest coordinate and the number of trough coordinate, so as to
The color change number for determining the finger in acquisition duration, since the frequency of finger color variation is and current operation user
Heart rate is associated, therefore terminal device is determining color change number, then can determine the heartbeat of the user in acquisition duration
Number, and based on beats and acquisition duration, it can calculate the heart rate value of target user.
Optionally, in order to improve the accurate accuracy rate of identification, terminal device in S301 by each wave crest coordinate with
And trough coordinate is matched, and generates Wave crest and wave trough coordinate pair, in order to filter invalid noise heart rate, terminal device can be calculated respectively
The pixel value of a coordinate pair medium wave peak coordinate and trough coordinate, if the pixel value is less than preset effective difference,
It then identifies that the coordinate pair is invalid coordinates pair, when calculating the heart rate value and pressure value of user, invalid coordinates pair can be ignored.
In S303, according to the gray value of the wave crest coordinate and the gray value of the trough coordinate, the ash is determined
The peak-to-peak value of Change in Mean curve is spent, and determines the pressure value of the user based on the peak-to-peak value.
In the present embodiment, terminal device obtains each Wave crest and wave trough coordinate pair according to pairing, calculates in each coordinate pair
Difference between the gray value of wave crest coordinate and the gray value of trough coordinate, so that it is determined that the corresponding peak-to-peak value of each coordinate pair.
In the present embodiment, terminal device can be based on peak after the peak-to-peak value that each Wave crest and wave trough coordinate pair has been determined
Peak-to-peak value of the mean value of peak value as the gray average change curve, and it is based on the peak-to-peak value and blood pressure transformation model, it calculates
The pressure value of the user out.
In S304, according to the heart rate value and the pressure value, the biological characteristic parameter is generated.
In the present embodiment, terminal device is after the heart rate value and pressure value for calculating user, can will be above-mentioned two
Parameter is packaged, and generates the biological characteristic parameter about the user.Certainly, other than acquiring above-mentioned two classes biological parameter, eventually
End equipment can also determine the shell temperature of the user, shell temperature is added to this according to the average pixel value of finger-image
In biological characteristic parameter.
In embodiments of the present invention, by parse gray average change curve, so that it is determined that the heart rate value of target user with
And pressure value, and biological characteristic parameter is generated, implementation is simple, can not only carry out In vivo detection, additionally it is possible to realize biology
Characteristic parameter extraction improves the accuracy of register.
Fig. 4 shows the specific implementation stream of the login method S102 of user account of fourth embodiment of the invention offer a kind of
Cheng Tu.Referring to fig. 4, relative to embodiment described in Fig. 1, Fig. 2 a and Fig. 3, a kind of login of user account provided in this embodiment
S102 includes: S1021~S1023 in method, and specific details are as follows:
In S1021, binary conversion treatment is carried out to the finger vein image, the finger vein image after generating binaryzation.
In the present embodiment, terminal device, can be by collected finger vein in order to improve the accuracy rate of vein outline identification
Image, which carries out binary conversion treatment, after binary conversion treatment, can protrude to generate the finger vein image of binaryzation and refer to vein
Contour feature.Optionally, terminal device can also be by way of Edge contrast and setting contrast to finger vein image
It is pre-processed, to reduce the number for referring to noise in vein image after binaryzation, improves the accuracy rate of identification.
Preferably, terminal device can obtain the pixel value for referring to each pixel in vein image, so that it is determined that this refer to it is quiet
The average pixel value of arteries and veins image determines the binarization threshold of binary conversion treatment based on the average pixel value, so as to realize two
What value threshold value and finger vein image matched, and binarization threshold can be dynamically adjusted, improve the accuracy of binary conversion treatment.
In S1022, according to the finger vein image after binaryzation, the finger vein profile traces of the user are obtained,
And the coordinate position of each inflection point in the finger vein profile traces is extracted, it generates about the feature sequence for referring to vein image
Column.
In the present embodiment, terminal device extracts the finger vein profile rail of the finger from the finger vein image after binaryzation
Mark, since the vein trend of finger is not a realization, but situations such as will appear turning or extend, and occur turning with
And when the path directions change such as extension, an inflection point can be then generated in the track, and the position of the inflection point is random and each use
It is unique per family, therefore by the position of identification inflection point, can be used as a characteristic parameter for referring to vein profile, thus will
The process that one two dimension compares is converted to the comparison process of an one-dimensional parameter, improves the efficiency of identification and lowers identification hardly possible
Degree.
In the present embodiment, the coordinate of terminal device each inflection point of mark in referring to vein image, and it is based on the inflection point
Referring to the relative position in vein image, determining the coordinate value of the inflection point, to be referred to according to the generation of each inflection point volume coordinate value quiet
The characteristic sequence of arteries and veins image.
In S1023, each element and the standard in the characteristic sequence of calculating refer to the associated standard sequence of vein image
Difference in column between each element determines the matching degree based on the difference.
In the present embodiment, if the standard that the finger vein image of acquisition and legitimate user upload in advance refers to vein image
Match, then the gap between the coordinate position of each inflection point is smaller is even overlapped, therefore terminal device can calculate and refer to vein figure
Difference in the characteristic sequence of picture and the standard sequence of standard IV image between each element, and all differences are weighted
Summation obtains the matching degree between two images, if difference between the two is smaller, the matching angle value between two images is got over
It is high.
In embodiments of the present invention, by referring to vein wheel so as to improve to vein image progress binary conversion treatment is referred to
Wide visibility, consequently facilitating the inflection point coordinate for including in identification image, refers to vein image and standard IV figure convenient for calculating
Matching degree as between.
Fig. 5 shows the specific implementation stream of the login method S101 of user account of fifth embodiment of the invention offer a kind of
Cheng Tu.Referring to Fig. 5, relative to embodiment described in Fig. 1, Fig. 2 a and Fig. 3, a kind of login of user account provided in this embodiment
Method S101 includes: S1011~S1013, and specific details are as follows:
In S1011, it is based on the account identification, determines the finger mould list of user typing；The finger mould list
In be stored with the standard IV images of different fingers.
In the present embodiment, the standard that user uploads multiple fingers refers to vein image, and refers to vein based on multiple standards
One finger mould list of image construction, user can be manually each standard IV image tagged corresponding finger number, so as to
The target finger acquired needed for determining can be numbered when subsequent acquisition based on the finger.
In S1012, finger number is randomly selected from the finger mould list as target finger, and generate about
The acquisition prompt information of the target finger.
In the present embodiment, terminal device refers in mould list from this through random algorithm, exports a finger number value, after
And numbered according to the finger and generate an acquisition prompt information, which includes that the finger of the target mobile phones is compiled
Number.The acquisition prompt information can be shown that user can will correspond to according to the bullet frame prompt information by way of playing frame
Target finger be placed in refer to venous collection module at.
In S1013, the finger vein image of the target finger is obtained.
In the present embodiment, terminal device is when detecting that user placed target finger and extremely refer to venous collection module, or
When receiving acquisition enabled instruction, by referring to that venous collection module obtains the finger vein image of target finger.
In embodiments of the present invention, by way of randomly selecting target mobile phones, user is avoided to prepare a certain finger in advance
Finger mould information improve the safety of login to improve fraud difficulty.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Fig. 6 shows a kind of structural block diagram of the logging device of user account of one embodiment of the invention offer, the user
The each unit that the logging device of account includes is used to execute each step in the corresponding embodiment of Fig. 1.Referring specifically to Fig. 1 and figure
Associated description in embodiment corresponding to 1.For ease of description, only the parts related to this embodiment are shown.
Referring to Fig. 6, the logging device of the user account includes:
Refer to vein image acquiring unit 61, if obtaining the user's of current operation for receiving Account Logon instruction
Refer to vein image；The Account Logon instruction includes the account identification of the user；
Matching degree computing unit 62, for extracting the standard IV image of the account identification from vein template library, and
Calculate the matching degree between the finger vein image and the standard IV image；
Finger-image acquisition unit 63, if being greater than preset matching threshold for the matching degree, with preset acquisition
Multiple finger-images of user described in frequency acquisition；
Biological characteristic parameter acquiring unit 64 determines that the biology of the user is special for being based on multiple finger-images
Levy parameter；
Log-in instruction response unit 65, if the standard biological parameter phase for the biological characteristic parameter and the user
Match, then responds the Account Logon instruction.
Optionally, the biological characteristic parameter acquiring unit 64 includes:
Gradation conversion unit generates each finger for each finger-image to be carried out gradation conversion respectively
The corresponding finger gray level image of image；
Average gray value determination unit determines each for the gray value based on each pixel in the finger gray level image
The corresponding average gray value of a finger gray level image；
Grey scale change curve generation unit, for according to the corresponding average gray of multiple finger gray level images
Value, using average gray as ordinate, using the serial number size for obtaining the finger-image as abscissa, establishes the finger-image
Gray average change curve；
Biological characteristic parameter extraction unit determines the biology of the user for being based on the gray average change curve
Characteristic parameter.
Optionally, the biological characteristic parameter extraction unit includes:
Characteristic coordinates marking unit, for marking all wave crest coordinates and trough on the gray average change curve
Coordinate；
Heart rate value determination unit determines institute for the number of number and institute's trough coordinate based on the wave crest coordinate
State the heart rate value of user；
Pressure value determination unit, for according to the gray value of the wave crest coordinate and the gray value of the trough coordinate,
It determines the peak-to-peak value of the gray average change curve, and determines the pressure value of the user based on the peak-to-peak value；
Biological characteristic parameter generation unit, for it is special to generate the biology according to the heart rate value and the pressure value
Levy parameter.
Optionally, the matching degree computing unit 62 includes:
Binary conversion treatment unit, for carrying out binary conversion treatment to the finger vein image, the finger after generating binaryzation is quiet
Arteries and veins image；
Characteristic sequence generation unit, for according to the finger vein image after binaryzation, the finger for obtaining the user to be quiet
Arteries and veins profile traces, and the coordinate position of each inflection point in the finger vein profile traces is extracted, it generates about the finger vein figure
The characteristic sequence of picture；
Characteristic sequence comparing unit refers to that vein image closes for calculating each element and the standard in the characteristic sequence
Difference in the standard sequence of connection between each element determines the matching degree based on the difference.
Optionally, the finger vein image acquiring unit 61 includes:
Refer to mould list acquiring unit, for being based on the account identification, determines the finger mould list of user typing；Institute
State the standard IV image for referring to and being stored with different fingers in mould list；
Target finger determination unit, for randomly selecting a finger number from the finger mould list as target hand
Refer to, and generates the acquisition prompt information about the target finger；
Target finger-image acquiring unit, for obtaining the finger vein image of the target finger.
Therefore, the logging device of user account provided in an embodiment of the present invention again may be by obtaining the finger vein of user
Image can not carry out puppet by way of wearing fingerprint sleeve due to referring to that vein image is the vein image acquired in user's finger
It makes, so as to improve the reliability of account verification, and according to the matching degree referred between vein image and standard IV image, sentences
Whether the disconnected user currently logged in is legitimate user, when match degree is greater than the preset threshold, continues the biological characteristic for acquiring user
Parameter further avoids user and pretends to be legal use by forgery tool so that the user to current authentication carries out In vivo detection
Family carries out Account Logon.
Fig. 7 be another embodiment of the present invention provides a kind of terminal device schematic diagram.As shown in fig. 7, the embodiment
Terminal device 7 includes: processor 70, memory 71 and is stored in the memory 71 and can transport on the processor 70
Capable computer program 72, such as the logging program of user account.The processor 70 executes real when the computer program 72
Step in the login method embodiment of existing above-mentioned each user account, such as S101 shown in FIG. 1 to S105.Alternatively, described
Processor 70 realizes the function of each unit in above-mentioned each Installation practice when executing the computer program 72, such as shown in Fig. 6
61 to 65 function of module.
Illustratively, the computer program 72 can be divided into one or more units, one or more of
Unit is stored in the memory 71, and is executed by the processor 70, to complete the present invention.One or more of lists
Member can be the series of computation machine program instruction section that can complete specific function, and the instruction segment is for describing the computer journey
Implementation procedure of the sequence 72 in the terminal device 7.For example, the computer program 72, which can be divided into, refers to that vein image obtains
Take unit, matching degree computing unit, finger-image acquisition unit, biological characteristic parameter acquiring unit and log-in instruction response single
Member, each unit concrete function are as described above.
The terminal device 7 can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The terminal device may include, but be not limited only to, processor 70, memory 71.It will be understood by those skilled in the art that Fig. 7
The only example of terminal device 7 does not constitute the restriction to terminal device 7, may include than illustrating more or fewer portions
Part perhaps combines certain components or different components, such as the terminal device can also include input-output equipment, net
Network access device, bus etc..
Alleged processor 70 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 71 can be the internal storage unit of the terminal device 7, such as the hard disk or interior of terminal device 7
It deposits.The memory 71 is also possible to the External memory equipment of the terminal device 7, such as be equipped on the terminal device 7
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, the memory 71 can also both include the storage inside list of the terminal device 7
Member also includes External memory equipment.The memory 71 is for storing needed for the computer program and the terminal device
Other programs and data.The memory 71 can be also used for temporarily storing the data that has exported or will export.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of login method of user account characterized by comprising
If receiving Account Logon instruction, the finger vein image of the user of current operation is obtained；The Account Logon instruction packet
Account identification containing the user；
The standard IV image of the account identification is extracted from vein template library, and calculates the finger vein image and the mark
Matching degree between quasi- vein image；
If the matching degree is greater than preset matching threshold, multiple finger figures of the user are obtained with preset frequency acquisition
Picture；
Based on multiple finger-images, the biological characteristic parameter of the user is determined；
If the biological characteristic parameter and the standard biological parameter of the user match, the Account Logon instruction is responded.
2. login method according to claim 1, which is characterized in that it is described to be based on multiple finger-images, determine institute
State the biological characteristic parameter of user, comprising:
Each finger-image is subjected to gradation conversion respectively, generates the corresponding finger grayscale image of each finger-image
Picture；
Based on the gray value of each pixel in the finger gray level image, determine that each finger gray level image is corresponding average
Gray value；
According to the corresponding average gray value of multiple finger gray level images, using average gray as ordinate, to obtain
The serial number size of the finger-image is abscissa, establishes the gray average change curve of the finger-image；
Based on the gray average change curve, the biological characteristic parameter of the user is determined.
3. login method according to claim 2, which is characterized in that it is described to be based on the gray average change curve, really
The biological characteristic parameter of the fixed user, comprising:
All wave crest coordinates and trough coordinate are marked on the gray average change curve；
The number of number and institute's trough coordinate based on the wave crest coordinate, determines the heart rate value of the user；
According to the gray value of the wave crest coordinate and the gray value of the trough coordinate, the gray average change curve is determined
Peak-to-peak value, and determine based on the peak-to-peak value pressure value of the user；
According to the heart rate value and the pressure value, the biological characteristic parameter is generated.
4. login method according to claim 1-3, which is characterized in that described to extract institute from vein template library
The standard IV image of account identification is stated, and calculates the matching degree between the finger vein image and the standard IV image,
Include:
Binary conversion treatment is carried out to the finger vein image, the finger vein image after generating binaryzation；
According to the finger vein image after binaryzation, the finger vein profile traces of the user are obtained, and it is quiet to extract the finger
The coordinate position of each inflection point in arteries and veins profile traces is generated about the characteristic sequence for referring to vein image；
Calculate each element and the standard in the characteristic sequence refer in the associated standard sequence of vein image each element it
Between difference, the matching degree is determined based on the difference.
5. login method according to claim 1-3, which is characterized in that if the Account Logon that receives refers to
It enables, then obtains the finger vein image of the user of current operation, comprising:
Based on the account identification, the finger mould list of user typing is determined；Different hands are stored in the finger mould list
The standard IV image of finger；
A finger number is randomly selected from the finger mould list as target finger, and is generated about the target finger
Acquire prompt information；
Obtain the finger vein image of the target finger.
6. a kind of logging device of user account characterized by comprising
Refer to vein image acquiring unit, if obtaining the finger vein of the user of current operation for receiving Account Logon instruction
Image；The Account Logon instruction includes the account identification of the user；
Matching degree computing unit for extracting the standard IV image of the account identification from vein template library, and calculates institute
State the matching degree referred between vein image and the standard IV image；
Finger-image acquisition unit is obtained if being greater than preset matching threshold for the matching degree with preset frequency acquisition
Take multiple finger-images of the user；
Biological characteristic parameter acquiring unit determines the biological characteristic parameter of the user for being based on multiple finger-images；
Log-in instruction response unit, if matching for the biological characteristic parameter and the standard biological parameter of the user,
Respond the Account Logon instruction.
7. logging device according to claim 6, which is characterized in that the biological characteristic parameter acquiring unit includes:
Gradation conversion unit generates each finger-image for each finger-image to be carried out gradation conversion respectively
Corresponding finger gray level image；
Average gray value determination unit determines each institute for the gray value based on each pixel in the finger gray level image
State the corresponding average gray value of finger gray level image；
Grey scale change curve generation unit, for according to the corresponding average gray value of multiple finger gray level images, with
Average gray is ordinate, using the serial number size for obtaining the finger-image as abscissa, establishes the ash of the finger-image
Spend Change in Mean curve；
Biological characteristic parameter extraction unit determines the biological characteristic of the user for being based on the gray average change curve
Parameter.
8. logging device according to claim 7, which is characterized in that the biological characteristic parameter extraction unit includes:
Characteristic coordinates marking unit, for marking all wave crest coordinates and trough to sit on the gray average change curve
Mark；
Heart rate value determination unit determines the use for the number of number and institute's trough coordinate based on the wave crest coordinate
The heart rate value at family；
Pressure value determination unit, for determining according to the gray value of the wave crest coordinate and the gray value of the trough coordinate
The peak-to-peak value of the gray average change curve, and determine based on the peak-to-peak value pressure value of the user；
Biological characteristic parameter generation unit, for generating the biological characteristic ginseng according to the heart rate value and the pressure value
Number.
9. a kind of terminal device, which is characterized in that the terminal device includes memory, processor and is stored in the storage
In device and the computer program that can run on the processor, when the processor executes the computer program such as right is wanted
The step of seeking any one of 1 to 5 the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of any one of such as claim 1 to 5 of realization the method.
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| CN111159687A (en) * | 2019-12-31 | 2020-05-15 | 维沃移动通信有限公司 | Account information processing method, electronic equipment and server |
| CN111639557A (en) * | 2020-05-15 | 2020-09-08 | 圣点世纪科技股份有限公司 | Intelligent registration feedback method for finger vein image |
| CN111695102A (en) * | 2020-06-16 | 2020-09-22 | 东方创芯(北京)数字技术有限公司 | Safety protection method and device based on biological information |
| CN112446260A (en) * | 2019-09-02 | 2021-03-05 | 杭州萤石软件有限公司 | Authentication method and device |
| CN112667985A (en) * | 2020-12-31 | 2021-04-16 | 深兰盛视科技（苏州）有限公司 | Bargun control method and device, bargun and computer readable storage medium |
| CN112883356A (en) * | 2021-03-31 | 2021-06-01 | 中国工商银行股份有限公司 | Identity authentication method, device and equipment |
| CN113688370A (en) * | 2021-07-30 | 2021-11-23 | 山东海量信息技术研究院 | Server operation method, device, equipment and computer readable storage medium |
| CN114637977A (en) * | 2022-01-26 | 2022-06-17 | 安徽点亮网络技术有限公司 | Account authority management method, system and device based on finger vein authentication |
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| CN112446260A (en) * | 2019-09-02 | 2021-03-05 | 杭州萤石软件有限公司 | Authentication method and device |
| CN110738177A (en) * | 2019-10-17 | 2020-01-31 | 日立楼宇技术（广州）有限公司 | finger vein identification method, device, equipment and storage medium |
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| CN111639557A (en) * | 2020-05-15 | 2020-09-08 | 圣点世纪科技股份有限公司 | Intelligent registration feedback method for finger vein image |
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| CN112667985A (en) * | 2020-12-31 | 2021-04-16 | 深兰盛视科技（苏州）有限公司 | Bargun control method and device, bargun and computer readable storage medium |
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| CN112883356B (en) * | 2021-03-31 | 2024-04-23 | 中国工商银行股份有限公司 | Identity authentication method, device and equipment |
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